Overview
- Skill Key
- 1kalin/afrexai-ai-readiness
- Author
- 1kalin
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/1kalin/afrexai-ai-readiness
- Latest Commit SHA
- 30a9f312578088c8236a020fac22f3da0c679e6f
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Afrexai Ai Readiness 技能。 若已安装,则直接安装 Afrexai Ai Readiness 技能。
# AI Readiness Assessment Run a structured AI readiness audit for any organization. Scores 8 dimensions, identifies gaps, produces a prioritized 90-day action plan with budget ranges. ## When to Use - Before investing in AI/automation tools - Board or leadership requesting AI strategy - Evaluating build vs buy decisions - Annual technology planning ## How It Works Score each dimension 1-5 (1=not started, 5=optimized): ### 1. Data Infrastructure (Weight: 3x) - [ ] Centralized data warehouse or lakehouse operational - [ ] Data quality monitoring automated (freshness, completeness, accuracy) - [ ] API-first architecture for core systems - [ ] Data governance policy documented and enforced - [ ] PII/PHI classification and access controls active **Score 1:** Spreadsheets and siloed databases **Score 3:** Warehouse exists, some pipelines automated **Score 5:** Real-time streaming, quality >99%, full lineage ### 2. Process Documentation (Weight: 2x) - [ ] Top 20 revenue-impacting processes mapped end-to-end - [ ] Decision trees documented for each process - [ ] Exception handling paths defined - [ ] Time-per-task benchmarks established - [ ] Process owners assigned **Score 1:** Tribal knowledge, nothing written down **Score 3:** Major processes documented, some outdated **Score 5:** Living documentation, updated quarterly, covers 80%+ of operations ### 3. Technical Talent (Weight: 2x) - [ ] At least 1 person understands ML/AI concepts at implementation level - [ ] Engineering team comfortable with APIs and integrations - [ ] DevOps/infrastructure person can deploy and monitor services - [ ] Data analyst can query and interpret model outputs - [ ] Security team understands AI-specific attack surfaces **Score 1:** No technical staff beyond basic IT **Score 3:** Good engineering team, AI knowledge is theoretical **Score 5:** Dedicated AI/ML engineer, cross-functional AI literacy program ### 4. Budget & ROI Framework (Weight: 2x) - [ ] AI budget allocated (not pulle...
# AI Readiness Assessment Score your organization across 8 weighted dimensions. Get a clear readiness rating and a prioritized 90-day action plan — not a vague "you need AI" pitch. ## What It Does - **8-dimension scoring** — Data, Process, Talent, Budget, Change Management, Security, Integration, Strategy - **Weighted formula** — Security and data count more than buzzword alignment - **Budget reality tables** — By company size, with actual ROI timelines - **90-day action plan** — Foundation → Pilot → Scale or Kill - **Industry benchmarks** — Know where you stand vs your sector (2026 data) - **7 assessment mistakes** — Skip the expensive lessons others already learned ## Who It's For CTOs, VPs of Engineering, COOs, and anyone who got asked "what's our AI strategy?" in a board meeting. Works for 15-person startups through 1000+ enterprises. ## Quick Start Tell your agent: "Run the AI readiness assessment for our company" It'll walk through each dimension, score you, and produce the action plan. --- **Industry context packs ($47):** https://afrexai-cto.github.io/context-packs/ **AI Revenue Calculator (free):** https://afrexai-cto.github.io/ai-revenue-calculator/ **Agent Setup Wizard (free):** https://afrexai-cto.github.io/agent-setup/ Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) — AI agent context for businesses that ship.
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